Job
- Level
- Senior
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop scalable AI-driven solutions for marketing in the iGaming sector, work on model training and MLOps, and design innovative, cloud-based systems in an agile team.
Job Technologies
Your role in the team
- Join our division, “Sportradar ad:s”, where we provide data-driven marketing and sponsorship services to the iGaming industry.
- Our purpose-built tools and services cater to the individual marketing needs of sportsbooks and media publishers worldwide.
- Imagine working in an environment surrounded by sports data, live play-by-play statistics, virtual sports, microservices, and betting – all while maintaining an agile mindset and a commitment to delivering exceptional value for our customers.
- As a (Senior) ML Engineer in the AI team at Sportradar, you will have the opportunity to shape and contribute to all components of our AI stack—from the initial idea to the final product.
- Your work will span model training and fine-tuning, MLOps, deployment and monitoring, ensuring our AI-driven solutions are scalable, efficient, and impactful.
- We follow an experiment-based approach, continuously testing new ideas, analyzing results, and sharing insights across the division to drive innovation.
- You will collaborate closely with sales and product managers to develop cutting-edge AI solutions that enhance our marketing and sponsorship services.
- Our technology stack relies on scalable microservices hosted in the cloud, allowing us to build flexible and high-performance AI-powered products.
- From a technical perspective, our AI solutions are built on a scalable, cloud-native architecture within AWS.
- Key Responsibilities: Contribute and grow as part of a self-organized, agile software development team.
- Build our advertising technologies - from understanding the requirements to creating the fully functional data/AI solutions.
- Design and craft highly scalable, fault-tolerant ML/AI systems, while keeping your focus on quality, observability and security.
- Engage in a supportive, collaborative team environment and contribute to maintaining a positive culture.
- Share ideas and insights with different stakeholders within the division.
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Our expectations of you
Qualifications
- Strong problem-solving skills and the ability to think critically when designing AI-driven solutions.
- Strong ownership, curiosity, and a drive to explore new AI technologies and methodologies.
- Challenge assumptions, bring opposing perspectives, and elevate technical discussion.
- Collaborate with product and business stakeholders to define ML strategy and ensure alignment with long-term goals.
Experience
- Professional experience in Data Science, Machine Learning, or AI engineering, with a focus on Natural Language Processing (NLP), Speech Recognition, or Computer Vision.
- Experience with Generative AI is a strong plus.
- Hands-on experience with ML model training, fine-tuning, deployment, and monitoring.
- Experience with cloud-based solutions (AWS SageMaker and Bedrock) is a strong plus.
- Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
- Experience working in agile/lean environments, with a mindset for continuous learning and improvement.
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What we offer
- A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia, and the US).
- Ability to shape your own workday and career via a clearly defined professional and personal development plan.
- Opportunity to work with senior leadership, develop yourself and build your career within an inspiring and fast-growing company and digital sports environment.
- A vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants.
- A company culture that promotes social aspects, sports, physical exercise, and fun.
- Innovative and cross-team challenges like ShipIt, office sports tournaments in Darts and Table Tennis, and unique beer brewing competitions.
- Competitive salary and benefits (e.g. retirement pension and insurance plan).
- While we value the opportunities to work from home, we truly believe that being together, and sharing ideas, opportunities, trials and tribulations with teammates make us stronger and more innovative – individually and as a company.
- We strengthen the fibers of our Company each and every day, just by being together.
- For this reason, we operate a hybrid model where we are in the office 3 days a week.
- The minimum monthly salary for this position is in accordance with the Collective Bargaining Agreement; any overpayment will be considered based on qualifications and work experience.
- We relocated to our office near the Nordbahnviertel (Praterstern) in the 2nd district of Vienna in Q1/2024.
- Due to the prime inner-city location, we are excellently connected to the public transport network and the cycle path network, making us very easily accessible.
- In addition, we offer our employees a state-of-the-art infrastructure near the center of the most livable city in the world.
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Benefits
Health, Fitness & Fun
- 🏋🏿♂️Fitness Offers
- 👨🏻🎓Mentor Program
- 👩⚕️Company Doctor
- ⚽️Tabletop Soccer, etc.
- 🚲Bicycle Parking Space
- 🎳Team Events
Work-Life-Integration
More net
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
Sportradar Media Services GmbH
Leonding, Wien, Gera, Bremen
At Sportradar, we have more than 1,900 employees working at more than 30 locations worldwide (including Ljubljana, Minneapolis, Munich, Oslo, Trondheim and Warsaw). We occupy a unique position at the intersection of sport, media and gaming industries. In addition to our core business operations we also operate LAOLA1.at and LAOLA1.tv – Austria's largest sports networks. Despite our full dedication to work , fun and teamwork are never far from us.
Description
- Company Size
- 250+ Employees
- Founding year
- 2001
- Language
- German, English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Advertising, Marketing, PR, Sports, Leisure, Media, Publishing, Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(3 Reviews)4.0
Engineering
3.6Career Growth
3.8Culture
4.3Workingconditions
4.3
Senior Machine Learning Engineer
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
